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Application of fuzzy cognitive maps on policy analysis: determining the policy of supporting the academic spin offs

Fuzzy Cognitive Map (FCM) is a type of artificial neural network. It can be viewed as a
weighted directed graph in which vertices represent concepts and edges represent causal links
between them. An FCM can be used as an intelligent decision support system (DSS) tool. It works
by representing important issues in a given situation and their causal relationships. The evolution
of a dynamic system with time can be simulated and the behavior of the systems can be predicted
and explained using an FCM. In this case FCM is used to ditermine the policy to support the
academic spin off. Simulation brings forth some conclusions and the best policy can be chosen.

Creator(s)
  • (97-004) Danny Prabowo Soetanto
Contributor(s)
-
Publisher
Universitas Kristen Petra; 2002
Language
English
Category
jou – Journal
Sub Category
-
Source
Jurnal Teknik Industri Vol.. 4, No. 2, Desember 2002: 93 - 101; Danny P. Soetanto (97-004)
Subject(s)
  • DECISION-MAKING-SIMULATION METHODS
  • NEURAL NETWORKS (COMPUTER SCIENCE)
File(s)

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